66 citations · 68 across the 2 of their papers we have counts for
2 papers
cs.SE2021★ 2 cited
ManyTypes4Py: A Benchmark Python Dataset for Machine Learning-based Type Inference
Amir M. Mir, Evaldas Latoskinas, Georgios Gousios
In this paper, we present ManyTypes4Py, a large Python dataset for machine learning (ML)-based type inference. The dataset contains a total of 5,382 Python projects with more than…
cs.LG2021★ 66 cited
Type4Py: Practical Deep Similarity Learning-Based Type Inference for Python
Amir M. Mir, Evaldas Latoskinas, Sebastian Proksch +1
Dynamic languages, such as Python and Javascript, trade static typing for developer flexibility and productivity. Lack of static typing can cause run-time exceptions and is a major…